Search Results for author: Laurent Valentin Jospin

Found 5 papers, 2 papers with code

Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision

no code implementations12 Sep 2022 Laurent Valentin Jospin, Hamid Laga, Farid Boussaid, Mohammed Bennamoun

A major focus of recent developments in stereo vision has been on how to obtain accurate dense disparity maps in passive stereo vision.

Disparity Estimation

Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching

1 code implementation2 Dec 2021 Laurent Valentin Jospin, Farid Boussaid, Hamid Laga, Mohammed Bennamoun

In this paper, we show that closed form formulae for subpixel disparity computation for the case of one dimensional matching, e. g., in the case of rectified stereo images where the search space is of one dimension, exists when using the standard NCC, SSD and SAD cost functions.

Optical Flow Estimation Patch Matching +1

A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

no code implementations1 Jun 2020 Hamid Laga, Laurent Valentin Jospin, Farid Boussaid, Mohammed Bennamoun

Motivated by their growing success in solving various 2D and 3D vision problems, deep learning for stereo-based depth estimation has attracted growing interest from the community, with more than 150 papers published in this area between 2014 and 2019.

 Ranked #1 on Monocular Depth Estimation on Make3D (RMSE metric)

Autonomous Driving Monocular Depth Estimation +2

Embedded polarizing filters to separate diffuse and specular reflection

no code implementations6 Nov 2018 Laurent Valentin Jospin, Gilles Baechler, Adam Scholefield

Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the filters.

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